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Data Science

Data Science allows us to extract meaning from and interpret data.

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🗺️ Neo4J #GraphSummits as data!

🗺️ Neo4J #GraphSummits as data!

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1 min read
Accelerating ETL Processes for Timely Business Intelligence

Accelerating ETL Processes for Timely Business Intelligence

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4 min read
Prompt Design and Engineering: Introduction and Advanced Methods

Prompt Design and Engineering: Introduction and Advanced Methods

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A Simple and Effective Pruning Approach for Large Language Models

A Simple and Effective Pruning Approach for Large Language Models

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SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

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Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

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Generative AI Beyond LLMs: System Implications of Multi-Modal Generation

Generative AI Beyond LLMs: System Implications of Multi-Modal Generation

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Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Beyond Memorization: Violating Privacy Via Inference with Large Language Models

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3 min read
SAR image matching algorithm based on multi-class features

SAR image matching algorithm based on multi-class features

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4 min read
FLAME: Factuality-Aware Alignment for Large Language Models

FLAME: Factuality-Aware Alignment for Large Language Models

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4 min read
PopulAtion Parameter Averaging (PAPA)

PopulAtion Parameter Averaging (PAPA)

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3 min read
Porting HPC Applications to AMD Instinct$^text{TM}$ MI300A Using Unified Memory and OpenMP

Porting HPC Applications to AMD Instinct$^text{TM}$ MI300A Using Unified Memory and OpenMP

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4 min read
Network reconstruction via the minimum description length principle

Network reconstruction via the minimum description length principle

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Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks

Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks

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Are aligned neural networks adversarially aligned?

Are aligned neural networks adversarially aligned?

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Poisoning Web-Scale Training Datasets is Practical

Poisoning Web-Scale Training Datasets is Practical

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3 min read
Circuit Component Reuse Across Tasks in Transformer Language Models

Circuit Component Reuse Across Tasks in Transformer Language Models

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R-Tuning: Instructing Large Language Models to Say `I Don't Know'

R-Tuning: Instructing Large Language Models to Say `I Don't Know'

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ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

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FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding

FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding

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4 min read
A typical Machine learning workflow

A typical Machine learning workflow

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Releasing LightningChart JS v.5.2

Releasing LightningChart JS v.5.2

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2 min read
"Day 56 of My Learning Journey: Setting Sail into Data Excellence! Today's Focus: Maths for Data Analysis (Probability - 2)

"Day 56 of My Learning Journey: Setting Sail into Data Excellence! Today's Focus: Maths for Data Analysis (Probability - 2)

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The Age of Smart Applications: How AI is Redefining Business Software

The Age of Smart Applications: How AI is Redefining Business Software

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Wukong: Towards a Scaling Law for Large-Scale Recommendation

Wukong: Towards a Scaling Law for Large-Scale Recommendation

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